Practical overview
When it fits
Use GPT-SoVITS when a voice workflow needs both reference-audio-based speech generation and a path to prepare recordings and fine-tune a model through a WebUI.
Who it is for
- Creators who want to generate speech from text using reference voice audio.
- Users preparing recordings and fine-tuning a voice model.
- Developers or technically minded users seeking a self-hosted voice synthesis WebUI.
Documented uses
- Generate speech from text using a short vocal reference.
- Fine-tune a TTS model with a voice recording.
- Prepare training audio by segmenting it, optionally denoising it, transcribing speech and proofreading labels.
- Convert voices or experiment with cross-lingual speech inference.
Requirements & limits
The repository is public and MIT-licensed. The README links a hosted demo and a Colab training notebook; local installation instructions are provided for Windows, Linux and macOS.
- The README describes zero-shot TTS with a five-second vocal sample and few-shot fine-tuning with about one minute of training data.
- The listed cross-lingual inference languages are English, Japanese, Korean, Cantonese and Chinese.
- Installation uses Python and PyTorch, with environment instructions varying by operating system and device.
- Pretrained models may need to be downloaded separately; Chinese TTS has an additional G2PW model step.
- The README says Mac GPU training can yield significantly lower quality than training on other devices and describes using CPUs instead.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Prepare audio and fine-tune a voice model
Follow the documented WebUI sequence from an audio recording through dataset preparation to model fine-tuning.
Before you start
- A running GPT-SoVITS installation and WebUI.
- An audio recording available through a path the application can use.
Steps
Open the WebUI and fill in the audio path.
Slice the audio into smaller chunks.
Optionally denoise the audio, then run ASR.
Proofread the ASR transcriptions.
Go to the next tab and fine-tune the model.
Expected outcome
The documented workflow reaches model fine-tuning using prepared audio and reviewed transcriptions.
Guide limitations
- Denoising is optional.
- The README does not provide a target recording duration or guarantee a particular model quality.
Open the inference WebUI
Start the documented inference interface after installing GPT-SoVITS.
Before you start
- A GPT-SoVITS installation.
- A Python environment with the project's dependencies installed.
Steps
Run the command below with an optional language argument, or run the command below.
python GPT_SoVITS/inference_webui.pypython webui.pyWhen using the command below, open the inference WebUI at
1-GPT-SoVITS-TTS/1C-inference.python webui.py
Expected outcome
The project's inference interface is opened for speech-generation use.
Guide limitations
- The cited instructions describe opening the interface, not a complete generation sequence.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 21 October 2026
- Original website title
- RVC-Boss/GPT-SoVITS · Official homepage title · retained in its source language